59 If the null hypothesis is rejected the researcher conclud

59. If the null hypothesis is rejected, the researcher concludes that there is sufficient evidence to believe that the difference between the sample statistic and the hypothesized parameter is due only to chance?

a) True

b) False

c) unknown

d) indeterminate

60. If the null hypothesis is rejected, the researcher concludes that there is sufficient evidence to believe that the difference between the sample statistic and the hypothesized parameter is large enough to be deemed statistically significant?

a) True

b) False  

c) unknown

d) indeterminate

QUESTION 61

Which of the following is NOT a property of the linear correlation coefficient r?

a. the value of r is not affected by the choice of x or y

b. the value of r measures the strength of a linear relationship

c. the value of r is always between -1 and +1 inclusive

d. a single outlier will not affect the value of r

The _______________ measures the strength of the linear correlation between the paired quantitative x-values and y-values in a sample.

a. population mean

b. sample standard deviation (s)

c. test statistic (Z or t)

d. linear correlation coefficient r

When determining whether there is a correlation between two variables, one should use a _______________ to explore the data visually.

a. protractor

b. probability distribution

c. correlation coefficient

d. scatter plot

Correlation implies causality.

True

False

Solution

59.

B. False. The researcher finds it hard to believe that it is just chance because the probability is too small.

60.

TRUE.

61.

D. a single outlier will not affect the value of r

Outliers indeed affect r.

62.

D. linear correlation coefficient r

It measures the strength of the linear correlation between the paired quantitative x-values and y-values in a sample.

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